eCite Digital Repository

Radical scavenging activity and metabolomic profiling study of ylang-ylang essential oils based on high-performance thin-layer chromatography and multivariate statistical analysis

Citation

Lebanov, L and Lam, SC and Tedone, L and Sostaric, T and Smith, JA and Ghiasvand, A and Paull, B, Radical scavenging activity and metabolomic profiling study of ylang-ylang essential oils based on high-performance thin-layer chromatography and multivariate statistical analysis, Journal of Chromatography B, 1179 Article 112861. ISSN 1570-0232 (2021) [Refereed Article]

Copyright Statement

© 2021 Elsevier B.V. All rights reserved.

DOI: doi:10.1016/j.jchromb.2021.122861

Abstract

Ylang-ylang (YY) essential oil (EO) is distilled from the fresh-mature flowers of the Annonaceae family tropical tree Cananga odorata [Lam.] Hook. f. & Thomson, and is widely used in perfume and cosmetic industries for its fragrant character. Herein, two different metabolomic profiles obtained using high-performance thin-layer chromatography (HPTLC), applying different stains, namely 2,2-diphenyl-1-picrylhydrazyl (DPPH·) and p-anisaldehyde, were used for discrimination of 52 YY samples across geographical origins and distillation grades. The first profile is developed using the DPPH· stain based on the radical scavenging activity (RSA) of YY EOs. Results of the HPTLC-DPPH· assay confirmed that RSA of YY EOs is in proportion to the length of distillation times. Major components contributing to the RSA of YY EOs were tentatively identified as germacrene D and α-farnesene, eugenol and linalool, by gas chromatography-mass spectrometry (GC–MS) and GC-flame ionisation detector (GC-FID). The second profile was developed using the general-purpose p-anisaldehyde stain based on the general chemical composition of YY EOs. Untargeted metabolomic discrimination of YY EOs from different geographical origins was performed based on the HPTLC-p-anisaldehyde profiles, followed by principal component analysis (PCA). A discrimination and prediction model for identification of YY distillation grade was developed using PCA and partial least squares regression (PLS) based on binned HPTLC-ultraviolet (254 nm) profiles, which was successfully applied to distillation grade determination of blended YY Complete EOs.

Item Details

Item Type:Refereed Article
Keywords:free radical scavenging activity, Ylang-ylang essential oil, distillation grades, high performance thin layer chromatography, multivariate statistical analysis
Research Division:Chemical Sciences
Research Group:Analytical chemistry
Research Field:Separation science
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the chemical sciences
UTAS Author:Lebanov, L (Mr Leo Lebanov)
UTAS Author:Lam, SC (Mr Shing Chung Lam)
UTAS Author:Tedone, L (Ms Laura Tedone)
UTAS Author:Smith, JA (Associate Professor Jason Smith)
UTAS Author:Ghiasvand, A (Professor Alireza Ghiasvand)
UTAS Author:Paull, B (Professor Brett Paull)
ID Code:146508
Year Published:2021
Web of Science® Times Cited:1
Deposited By:Chemistry
Deposited On:2021-09-09
Last Modified:2021-12-09
Downloads:0

Repository Staff Only: item control page